Solver Square Comparison

Solver Square Comparison: Considers all models.

Results created on 03/04/11 12:14:18 using the PAVER Server/Performance tools available at http://www.gamsworld.eu/performance/paver

Compares all solver return outcomes (for example optimal, locally optimal, infeasible, unbounded, fail) of one solver with all return outcomes of another solver. Interrupt denotes resource or iteration limit has been reached.

Solver CONOPT is represented on the left (rows) and solver MINOS on top (columns).

See the solver return definitions for return codes. Models having trace data only in one trace file are listed in the "no data" column of the other.

Input File Number	Filename
Tracefile 1:	CONOPT-1.trc
Tracefile 2:	MINOS-1.trc
Solvers used :	CONOPT
	MINOS
Modeltype(s)	`NLP`

	MINOS: optimal	MINOS: locally optimal	MINOS: feasible	MINOS: infeasible	MINOS: unbounded	MINOS: fail	MINOS: no data	total CONOPT
CONOPT: optimal	-	-	-	-	-	-	-	`-`
CONOPT: locally optimal	-	`59`	`7`	`5`	`1`	-	-	`72`
CONOPT: feasible	-	-	-	`1`	-	-	-	`1`
CONOPT: infeasible	-	-	-	`2`	`1`	-	-	`3`
CONOPT: unbounded	-	-	-	-	`1`	-	-	`1`
CONOPT: fail	-	`4`	-	-	-	-	-	`4`
CONOPT: no data	-	-	-	-	-	-	-	`-`
total MINOS	`-`	`63`	`7`	`8`	`3`	`-`	`-`	`81`

Solver return definitions:

Outcome	Model Status	Solver Status
optimal	1 or 15	1
locally optimal	2	any
feasible	7 or 16 or 17	1 or 2 or 3 or 4 or 5
infeasible	4 or 5 or 19	1
unbounded	3 or 18	1
fail	all other	all other

Solver Resource Times

Models for each solver pair outcome. Listed are the solver resource times TIME(.) in seconds, as well as the ratio RATIO(./.) of resource times for the two solvers if both solved optimally.
Also listed are the objective values OBJ(.) using both solvers. The better solution found is listed in boldface. A solution is considered better, if the relative objective function difference is greater than 1.00E-05. If both solutions are less than 1e-1, we use the absolute difference.
Solver resource time ratios for a particular model are listed only if one solver has resource greater than 5.00E-02.

CONOPT: locally optimal -- MINOS: locally optimal

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Obj (MINOS)
`arki0002`	`0.9630`	`1.9580`	`0.492`	`1.08668302`	`1.07456972`
`arki0004`	`3.3540`	`9.8750`	`0.340`	`327.73301341`	`327.73301341`
`arki0011`	`6.5860`	`22.9860`	`0.287`	`-224086.46003881`	`-224086.46003864`
`arki0013`	`745.9290`	`880.9330`	`0.847`	`-224253.08922164`	`-224253.08694287`
`arki0015`	`0.7570`	`3.6360`	`0.208`	`-271.73572350`	`-272.29977889`
`arki0020`	`0.2000`	`9.1250`	`0.022`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.9070`	`106.4350`	`0.009`	`-72.58210091`	`-72.58210091`
`arki0022`	`1.1870`	`221.9420`	`0.005`	`-87.09909127`	`-87.09909127`
`arki0023`	`3.7120`	`1645.3910`	`0.002`	`-153.66007775`	`-153.66007775`
`catmix100`	`0.0460`	`0.3670`	`0.125`	`-0.04806940`	`-0.04806941`
`catmix200`	`0.0550`	`0.5880`	`0.094`	`-0.04805914`	`-0.04805910`
`catmix400`	`0.1440`	`0.7280`	`0.198`	`-0.04805654`	`-0.04805651`
`catmix800`	`0.4500`	`1.4540`	`0.309`	`-0.04805590`	`-0.04805585`
`chain400`	`0.1190`	`1.9960`	`0.060`	`5.06862169`	`5.06862169`
`ex8_2_2a`	`7.5910`	`35.2220`	`0.216`	`-552.66625942`	`-552.64225587`
`ex8_2_2b`	`9.0010`	`7.7070`	`1.168`	`-552.66625902`	`-551.59248905`
`ex8_2_3b`	`20.5010`	`39.2120`	`0.523`	`-3731.07929518`	`-3730.72313819`
`ex8_2_5a`	`3.2450`	`25.8150`	`0.126`	`-830.33806704`	`-830.33212752`
`ex8_2_5b`	`2.9900`	`5.6660`	`0.528`	`-830.33806698`	`-829.34539825`
`flowchan100`	`0.0420`	`0.0270`	`---`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1220`	`0.0840`	`1.452`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2910`	`0.2940`	`0.990`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1860`	`0.3680`	`0.505`	`0.00523659`	`0.00523659`
`gasoil200`	`0.3930`	`1.4800`	`0.266`	`0.00523660`	`0.00523660`
`gasoil400`	`0.8620`	`5.1410`	`0.168`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0970`	`0.1850`	`0.524`	`0.00523664`	`0.00523664`
`infeas1`	`0.2410`	`0.3290`	`0.733`	`13685.59646095`	`13685.59644600`
`jbearing100`	`0.5080`	`90.7350`	`0.006`	`-0.15504196`	`-0.15504196`
`jbearing25`	`1.4170`	`2.4350`	`0.582`	`-0.15401554`	`-0.15401554`
`jbearing50`	`0.1920`	`14.1150`	`0.014`	`-0.15482422`	`-0.15482422`
`jbearing75`	`0.3430`	`44.0440`	`0.008`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.1230`	`0.2690`	`0.457`	`0.55459540`	`0.55459540`
`lnts200`	`0.3110`	`1.1790`	`0.264`	`0.55457702`	`0.55457702`
`lnts400`	`0.9830`	`5.4380`	`0.181`	`0.55457241`	`0.55457241`
`methanol100`	`0.1830`	`0.6870`	`0.266`	`0.00902229`	`0.00902229`
`methanol200`	`0.3870`	`2.0110`	`0.192`	`0.00902229`	`0.00902229`
`methanol400`	`0.9160`	`7.2970`	`0.126`	`0.00902229`	`0.00902229`
`methanol50`	`0.0910`	`0.5020`	`0.181`	`0.00902229`	`0.00902229`
`minsurf100`	`0.5520`	`174.5360`	`0.003`	`2.50694926`	`2.50694926`
`minsurf25`	`0.8990`	`3.1270`	`0.287`	`2.51948768`	`2.51948768`
`minsurf50`	`0.1680`	`20.4680`	`0.008`	`2.51488916`	`2.51488916`
`minsurf75`	`0.3050`	`74.9040`	`0.004`	`2.50568648`	`2.50568648`
`pinene100`	`0.3440`	`0.8570`	`0.401`	`19.87217014`	`19.87217013`
`pinene200`	`1.4160`	`3.8370`	`0.369`	`19.87216684`	`19.87216686`
`pinene25`	`0.2330`	`0.2680`	`0.869`	`19.87216067`	`19.87216552`
`pinene50`	`0.2330`	`0.2660`	`0.876`	`19.87216067`	`19.87216552`
`polygon100`	`5.4050`	`21.1860`	`0.255`	`-0.78486056`	`-0.67908505`
`polygon25`	`0.1040`	`0.0900`	`1.156`	`-0.77825010`	`-0.75541069`
`polygon50`	`0.5740`	`1.2800`	`0.448`	`-0.78306429`	`-0.77264788`
`polygon75`	`2.7700`	`2.8140`	`0.984`	`-0.78441600`	`-0.77115682`
`robot100`	`0.2140`	`0.5140`	`0.416`	`9.14268538`	`9.14268538`
`robot200`	`0.8580`	`1.7730`	`0.484`	`9.14139550`	`9.14139550`
`robot400`	`1.7430`	`7.1280`	`0.245`	`9.14102603`	`9.14102603`
`robot50`	`0.1010`	`0.1930`	`0.523`	`9.14687850`	`9.14687850`
`rocket400`	`7.3270`	`4.7130`	`1.555`	`-1.01283660`	`-1.01283632`
`torsion100`	`2.8130`	`100.5560`	`0.028`	`-0.41823921`	`-0.41823921`
`torsion25`	`0.5190`	`1.6000`	`0.324`	`-0.41751073`	`-0.41751073`
`torsion50`	`1.1460`	`12.4720`	`0.092`	`-0.41808763`	`-0.41808763`
`torsion75`	`2.1170`	`42.8410`	`0.049`	`-0.41819940`	`-0.41819940`

CONOPT: locally optimal -- MINOS: feasible

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Obj (MINOS)
`arki0016`	`1107.5970`	`0.7560`	`1465.075`	`867.97316601`	`1490.79918829`
`arki0018`	`1.2720`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`ex8_2_3a`	`20.6320`	`1.9690`	`10.478`	`-3731.07929501`	`-3282.93488482`
`popdynm100`	`3.3110`	`1.0300`	`3.215`	`19746.52860217`	`19746.52860217`
`popdynm200`	`4.4270`	`3.2290`	`1.371`	`19746.52964660`	`19746.52964660`
`popdynm25`	`1.1360`	`0.1750`	`6.491`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.8220`	`0.3440`	`2.390`	`19746.54515628`	`19746.54515628`

CONOPT: locally optimal -- MINOS: infeasible

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Status (MINOS)
`arki0003`	`5.0250`	`2.7470`	---	`3795.20606743`	`mstat( 5)sstat( 1)`
`arki0017`	`94.5180`	`1.9520`	---	`-121.83308010`	`mstat( 5)sstat( 1)`
`camshape400`	`0.0460`	`0.0770`	---	`-4.27568848`	`mstat( 5)sstat( 1)`
`camshape800`	`0.2300`	`0.2190`	---	`-4.27427414`	`mstat( 5)sstat( 1)`
`glider50`	`6.9400`	`0.2010`	---	`-1286.97737315`	`mstat( 5)sstat( 1)`

CONOPT: locally optimal -- MINOS: unbounded

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Status (MINOS)
`elec200`	`9.6280`	`78.8760`	---	`18438.91507542`	`mstat( 3)sstat( 1)`

CONOPT: feasible -- MINOS: infeasible

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Obj (CONOPT)	Status (MINOS)
`glider400`	`45.2300`	`2.0520`	---	`-298.24695974`	`mstat( 5)sstat( 1)`

CONOPT: infeasible -- MINOS: infeasible

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Status (CONOPT)	Status (MINOS)
`glider100`	`3.3770`	`0.3570`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`
`glider200`	`6.6630`	`0.6970`	---	`mstat( 5)sstat( 1)`	`mstat( 5)sstat( 1)`

CONOPT: infeasible -- MINOS: unbounded

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Status (CONOPT)	Status (MINOS)
`arki0008`	`24.1840`	`46.6820`	---	`mstat( 5)sstat( 1)`	`mstat( 3)sstat( 1)`

CONOPT: unbounded -- MINOS: unbounded

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Status (CONOPT)	Status (MINOS)
`ex8_2_2`	`1.7750`	`0.4040`	---	`mstat( 3)sstat( 1)`	`mstat( 3)sstat( 1)`

CONOPT: fail -- MINOS: locally optimal

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/MINOS)	Status (CONOPT)	Obj (MINOS)
`arki0012`	`15.0240`	`797.4310`	---	`mstat( 6)sstat( 4)`	`-224252.44487324`
`arki0014`	`11.0840`	`1082.3590`	---	`mstat( 6)sstat( 4)`	`-223977.09267384`
`rocket100`	`0.6340`	`1.2360`	---	`mstat( 6)sstat( 4)`	`-1.01283199`
`rocket200`	`1.0570`	`1.9560`	---	`mstat( 6)sstat( 4)`	`-1.01283556`

CONOPT: locally optimal:

Modelname	Time (CONOPT)	Obj (CONOPT)
`arki0002`	`0.9630`	`1.08668302`
`arki0003`	`5.0250`	`3795.20606743`
`arki0004`	`3.3540`	`327.73301341`
`arki0011`	`6.5860`	`-224086.46003881`
`arki0013`	`745.9290`	`-224253.08922164`
`arki0015`	`0.7570`	`-271.73572350`
`arki0016`	`1107.5970`	`867.97316601`
`arki0017`	`94.5180`	`-121.83308010`
`arki0018`	`1.2720`	`0.01045662`
`arki0020`	`0.2000`	`-41.07495436`
`arki0021`	`0.9070`	`-72.58210091`
`arki0022`	`1.1870`	`-87.09909127`
`arki0023`	`3.7120`	`-153.66007775`
`camshape400`	`0.0460`	`-4.27568848`
`camshape800`	`0.2300`	`-4.27427414`
`catmix100`	`0.0460`	`-0.04806940`
`catmix200`	`0.0550`	`-0.04805914`
`catmix400`	`0.1440`	`-0.04805654`
`catmix800`	`0.4500`	`-0.04805590`
`chain400`	`0.1190`	`5.06862169`
`elec200`	`9.6280`	`18438.91507542`
`ex8_2_2a`	`7.5910`	`-552.66625942`
`ex8_2_2b`	`9.0010`	`-552.66625902`
`ex8_2_3a`	`20.6320`	`-3731.07929501`
`ex8_2_3b`	`20.5010`	`-3731.07929518`
`ex8_2_5a`	`3.2450`	`-830.33806704`
`ex8_2_5b`	`2.9900`	`-830.33806698`
`flowchan100`	`0.0420`	`0.00000000`
`flowchan200`	`0.1220`	`0.00000000`
`flowchan400`	`0.2910`	`0.00000000`
`gasoil100`	`0.1860`	`0.00523659`
`gasoil200`	`0.3930`	`0.00523660`
`gasoil400`	`0.8620`	`0.00523660`
`gasoil50`	`0.0970`	`0.00523664`
`glider50`	`6.9400`	`-1286.97737315`
`infeas1`	`0.2410`	`13685.59646095`
`jbearing100`	`0.5080`	`-0.15504196`
`jbearing25`	`1.4170`	`-0.15401554`
`jbearing50`	`0.1920`	`-0.15482422`
`jbearing75`	`0.3430`	`-0.15498453`
`lnts100`	`0.1230`	`0.55459540`
`lnts200`	`0.3110`	`0.55457702`
`lnts400`	`0.9830`	`0.55457241`
`methanol100`	`0.1830`	`0.00902229`
`methanol200`	`0.3870`	`0.00902229`
`methanol400`	`0.9160`	`0.00902229`
`methanol50`	`0.0910`	`0.00902229`
`minsurf100`	`0.5520`	`2.50694926`
`minsurf25`	`0.8990`	`2.51948768`
`minsurf50`	`0.1680`	`2.51488916`
`minsurf75`	`0.3050`	`2.50568648`
`pinene100`	`0.3440`	`19.87217014`
`pinene200`	`1.4160`	`19.87216684`
`pinene25`	`0.2330`	`19.87216067`
`pinene50`	`0.2330`	`19.87216067`
`polygon100`	`5.4050`	`-0.78486056`
`polygon25`	`0.1040`	`-0.77825010`
`polygon50`	`0.5740`	`-0.78306429`
`polygon75`	`2.7700`	`-0.78441600`
`popdynm100`	`3.3110`	`19746.52860217`
`popdynm200`	`4.4270`	`19746.52964660`
`popdynm25`	`1.1360`	`19752.21541511`
`popdynm50`	`0.8220`	`19746.54515628`
`robot100`	`0.2140`	`9.14268538`
`robot200`	`0.8580`	`9.14139550`
`robot400`	`1.7430`	`9.14102603`
`robot50`	`0.1010`	`9.14687850`
`rocket400`	`7.3270`	`-1.01283660`
`torsion100`	`2.8130`	`-0.41823921`
`torsion25`	`0.5190`	`-0.41751073`
`torsion50`	`1.1460`	`-0.41808763`
`torsion75`	`2.1170`	`-0.41819940`

CONOPT: feasible:

Modelname	Time (CONOPT)	Obj (CONOPT)
`glider400`	`45.2300`	`-298.24695974`

CONOPT: infeasible:

Modelname	Time (CONOPT)	Status (CONOPT)
`arki0008`	`--`	`mstat( 5) sstat( 1)`
`glider100`	`--`	`mstat( 5) sstat( 1)`
`glider200`	`--`	`mstat( 5) sstat( 1)`

CONOPT: unbounded:

Modelname	Time (CONOPT)	Status (CONOPT)
`ex8_2_2`	`1.7750`	`mstat( 3) sstat( 1)`

CONOPT: fail:

Modelname	Time (CONOPT)	Status (CONOPT)
`arki0012`	`--`	`mstat( 6) sstat( 4)`
`arki0014`	`--`	`mstat( 6) sstat( 4)`
`rocket100`	`--`	`mstat( 6) sstat( 4)`
`rocket200`	`--`	`mstat( 6) sstat( 4)`

MINOS: locally optimal:

Modelname	Time (MINOS)	Obj (MINOS)
`arki0002`	`1.9580`	`1.07456972`
`arki0004`	`9.8750`	`327.73301341`
`arki0011`	`22.9860`	`-224086.46003864`
`arki0012`	`797.4310`	`-224252.44487324`
`arki0013`	`880.9330`	`-224253.08694287`
`arki0014`	`1082.3590`	`-223977.09267384`
`arki0015`	`3.6360`	`-272.29977889`
`arki0020`	`9.1250`	`-41.07495436`
`arki0021`	`106.4350`	`-72.58210091`
`arki0022`	`221.9420`	`-87.09909127`
`arki0023`	`1645.3910`	`-153.66007775`
`catmix100`	`0.3670`	`-0.04806941`
`catmix200`	`0.5880`	`-0.04805910`
`catmix400`	`0.7280`	`-0.04805651`
`catmix800`	`1.4540`	`-0.04805585`
`chain400`	`1.9960`	`5.06862169`
`ex8_2_2a`	`35.2220`	`-552.64225587`
`ex8_2_2b`	`7.7070`	`-551.59248905`
`ex8_2_3b`	`39.2120`	`-3730.72313819`
`ex8_2_5a`	`25.8150`	`-830.33212752`
`ex8_2_5b`	`5.6660`	`-829.34539825`
`flowchan100`	`0.0270`	`0.00000000`
`flowchan200`	`0.0840`	`0.00000000`
`flowchan400`	`0.2940`	`0.00000000`
`gasoil100`	`0.3680`	`0.00523659`
`gasoil200`	`1.4800`	`0.00523660`
`gasoil400`	`5.1410`	`0.00523660`
`gasoil50`	`0.1850`	`0.00523664`
`infeas1`	`0.3290`	`13685.59644600`
`jbearing100`	`90.7350`	`-0.15504196`
`jbearing25`	`2.4350`	`-0.15401554`
`jbearing50`	`14.1150`	`-0.15482422`
`jbearing75`	`44.0440`	`-0.15498453`
`lnts100`	`0.2690`	`0.55459540`
`lnts200`	`1.1790`	`0.55457702`
`lnts400`	`5.4380`	`0.55457241`
`methanol100`	`0.6870`	`0.00902229`
`methanol200`	`2.0110`	`0.00902229`
`methanol400`	`7.2970`	`0.00902229`
`methanol50`	`0.5020`	`0.00902229`
`minsurf100`	`174.5360`	`2.50694926`
`minsurf25`	`3.1270`	`2.51948768`
`minsurf50`	`20.4680`	`2.51488916`
`minsurf75`	`74.9040`	`2.50568648`
`pinene100`	`0.8570`	`19.87217013`
`pinene200`	`3.8370`	`19.87216686`
`pinene25`	`0.2680`	`19.87216552`
`pinene50`	`0.2660`	`19.87216552`
`polygon100`	`21.1860`	`-0.67908505`
`polygon25`	`0.0900`	`-0.75541069`
`polygon50`	`1.2800`	`-0.77264788`
`polygon75`	`2.8140`	`-0.77115682`
`robot100`	`0.5140`	`9.14268538`
`robot200`	`1.7730`	`9.14139550`
`robot400`	`7.1280`	`9.14102603`
`robot50`	`0.1930`	`9.14687850`
`rocket100`	`1.2360`	`-1.01283199`
`rocket200`	`1.9560`	`-1.01283556`
`rocket400`	`4.7130`	`-1.01283632`
`torsion100`	`100.5560`	`-0.41823921`
`torsion25`	`1.6000`	`-0.41751073`
`torsion50`	`12.4720`	`-0.41808763`
`torsion75`	`42.8410`	`-0.41819940`

MINOS: feasible:

Modelname	Time (MINOS)	Obj (MINOS)
`arki0016`	`0.7560`	`1490.79918829`
`arki0018`	`3600.1010`	`0.01045892`
`ex8_2_3a`	`1.9690`	`-3282.93488482`
`popdynm100`	`1.0300`	`19746.52860217`
`popdynm200`	`3.2290`	`19746.52964660`
`popdynm25`	`0.1750`	`19752.21541511`
`popdynm50`	`0.3440`	`19746.54515628`

MINOS: infeasible:

Modelname	Time (MINOS)	Status (MINOS)
`arki0003`	`--`	`mstat( 5)sstat( 1)`
`arki0017`	`--`	`mstat( 5)sstat( 1)`
`camshape400`	`--`	`mstat( 5)sstat( 1)`
`camshape800`	`--`	`mstat( 5)sstat( 1)`
`glider100`	`--`	`mstat( 5)sstat( 1)`
`glider200`	`--`	`mstat( 5)sstat( 1)`
`glider400`	`--`	`mstat( 5)sstat( 1)`
`glider50`	`--`	`mstat( 5)sstat( 1)`

MINOS: unbounded:

Modelname	Time (MINOS)	Status (MINOS)
`arki0008`	`46.6820`	`mstat( 3)sstat( 1)`
`elec200`	`78.8760`	`mstat( 3)sstat( 1)`
`ex8_2_2`	`0.4040`	`mstat( 3)sstat( 1)`

CONOPT: all -- MINOS: all

A "(max)" behind a model names indicates that this model is a maximization model.

Modelname	Time (CONOPT)	Time (MINOS)	Ratio (CONOPT/ MINOS)	Obj (CONOPT)	Obj (MINOS)
`arki0002`	`0.9630`	`1.9580`	`0.492`	`1.08668302`	`1.07456972`
`arki0003`	`5.0250`	`2.7470`	---	`3795.20606743`	`mstat( 5) sstat(1)`
`arki0004`	`3.3540`	`9.8750`	`0.340`	`327.73301341`	`327.73301341`
`arki0008`	`24.1840`	`46.6820`	---	`mstat( 5) sstat(1)`	`mstat( 3) sstat(1)`
`arki0011`	`6.5860`	`22.9860`	`0.287`	`-224086.46003881`	`-224086.46003864`
`arki0012`	`15.0240`	`797.4310`	---	`mstat( 6) sstat(4)`	`-224252.44487324`
`arki0013`	`745.9290`	`880.9330`	`0.847`	`-224253.08922164`	`-224253.08694287`
`arki0014`	`11.0840`	`1082.3590`	---	`mstat( 6) sstat(4)`	`-223977.09267384`
`arki0015`	`0.7570`	`3.6360`	`0.208`	`-271.73572350`	`-272.29977889`
`arki0016`	`1107.5970`	`0.7560`	`1465.075`	`867.97316601`	`1490.79918829`
`arki0017`	`94.5180`	`1.9520`	---	`-121.83308010`	`mstat( 5) sstat(1)`
`arki0018`	`1.2720`	`3600.1010`	`0.000`	`0.01045662`	`0.01045892`
`arki0020`	`0.2000`	`9.1250`	`0.022`	`-41.07495436`	`-41.07495436`
`arki0021`	`0.9070`	`106.4350`	`0.009`	`-72.58210091`	`-72.58210091`
`arki0022`	`1.1870`	`221.9420`	`0.005`	`-87.09909127`	`-87.09909127`
`arki0023`	`3.7120`	`1645.3910`	`0.002`	`-153.66007775`	`-153.66007775`
`camshape400`	`0.0460`	`0.0770`	---	`-4.27568848`	`mstat( 5) sstat(1)`
`camshape800`	`0.2300`	`0.2190`	---	`-4.27427414`	`mstat( 5) sstat(1)`
`catmix100`	`0.0460`	`0.3670`	`0.125`	`-0.04806940`	`-0.04806941`
`catmix200`	`0.0550`	`0.5880`	`0.094`	`-0.04805914`	`-0.04805910`
`catmix400`	`0.1440`	`0.7280`	`0.198`	`-0.04805654`	`-0.04805651`
`catmix800`	`0.4500`	`1.4540`	`0.309`	`-0.04805590`	`-0.04805585`
`chain400`	`0.1190`	`1.9960`	`0.060`	`5.06862169`	`5.06862169`
`elec200`	`9.6280`	`78.8760`	---	`18438.91507542`	`mstat( 3) sstat(1)`
`ex8_2_2`	`1.7750`	`0.4040`	---	`mstat( 3) sstat(1)`	`mstat( 3) sstat(1)`
`ex8_2_2a`	`7.5910`	`35.2220`	`0.216`	`-552.66625942`	`-552.64225587`
`ex8_2_2b`	`9.0010`	`7.7070`	`1.168`	`-552.66625902`	`-551.59248905`
`ex8_2_3a`	`20.6320`	`1.9690`	`10.478`	`-3731.07929501`	`-3282.93488482`
`ex8_2_3b`	`20.5010`	`39.2120`	`0.523`	`-3731.07929518`	`-3730.72313819`
`ex8_2_5a`	`3.2450`	`25.8150`	`0.126`	`-830.33806704`	`-830.33212752`
`ex8_2_5b`	`2.9900`	`5.6660`	`0.528`	`-830.33806698`	`-829.34539825`
`flowchan100`	`0.0420`	`0.0270`	`---`	`0.00000000`	`0.00000000`
`flowchan200`	`0.1220`	`0.0840`	`1.452`	`0.00000000`	`0.00000000`
`flowchan400`	`0.2910`	`0.2940`	`0.990`	`0.00000000`	`0.00000000`
`gasoil100`	`0.1860`	`0.3680`	`0.505`	`0.00523659`	`0.00523659`
`gasoil200`	`0.3930`	`1.4800`	`0.266`	`0.00523660`	`0.00523660`
`gasoil400`	`0.8620`	`5.1410`	`0.168`	`0.00523660`	`0.00523660`
`gasoil50`	`0.0970`	`0.1850`	`0.524`	`0.00523664`	`0.00523664`
`glider100`	`3.3770`	`0.3570`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider200`	`6.6630`	`0.6970`	---	`mstat( 5) sstat(1)`	`mstat( 5) sstat(1)`
`glider400`	`45.2300`	`2.0520`	---	`-298.24695974`	`mstat( 5) sstat(1)`
`glider50`	`6.9400`	`0.2010`	---	`-1286.97737315`	`mstat( 5) sstat(1)`
`infeas1 (max)`	`0.2410`	`0.3290`	`0.733`	`13685.59646095`	`13685.59644600`
`jbearing100`	`0.5080`	`90.7350`	`0.006`	`-0.15504196`	`-0.15504196`
`jbearing25`	`1.4170`	`2.4350`	`0.582`	`-0.15401554`	`-0.15401554`
`jbearing50`	`0.1920`	`14.1150`	`0.014`	`-0.15482422`	`-0.15482422`
`jbearing75`	`0.3430`	`44.0440`	`0.008`	`-0.15498453`	`-0.15498453`
`lnts100`	`0.1230`	`0.2690`	`0.457`	`0.55459540`	`0.55459540`
`lnts200`	`0.3110`	`1.1790`	`0.264`	`0.55457702`	`0.55457702`
`lnts400`	`0.9830`	`5.4380`	`0.181`	`0.55457241`	`0.55457241`
`methanol100`	`0.1830`	`0.6870`	`0.266`	`0.00902229`	`0.00902229`
`methanol200`	`0.3870`	`2.0110`	`0.192`	`0.00902229`	`0.00902229`
`methanol400`	`0.9160`	`7.2970`	`0.126`	`0.00902229`	`0.00902229`
`methanol50`	`0.0910`	`0.5020`	`0.181`	`0.00902229`	`0.00902229`
`minsurf100`	`0.5520`	`174.5360`	`0.003`	`2.50694926`	`2.50694926`
`minsurf25`	`0.8990`	`3.1270`	`0.287`	`2.51948768`	`2.51948768`
`minsurf50`	`0.1680`	`20.4680`	`0.008`	`2.51488916`	`2.51488916`
`minsurf75`	`0.3050`	`74.9040`	`0.004`	`2.50568648`	`2.50568648`
`pinene100`	`0.3440`	`0.8570`	`0.401`	`19.87217014`	`19.87217013`
`pinene200`	`1.4160`	`3.8370`	`0.369`	`19.87216684`	`19.87216686`
`pinene25`	`0.2330`	`0.2680`	`0.869`	`19.87216067`	`19.87216552`
`pinene50`	`0.2330`	`0.2660`	`0.876`	`19.87216067`	`19.87216552`
`polygon100`	`5.4050`	`21.1860`	`0.255`	`-0.78486056`	`-0.67908505`
`polygon25`	`0.1040`	`0.0900`	`1.156`	`-0.77825010`	`-0.75541069`
`polygon50`	`0.5740`	`1.2800`	`0.448`	`-0.78306429`	`-0.77264788`
`polygon75`	`2.7700`	`2.8140`	`0.984`	`-0.78441600`	`-0.77115682`
`popdynm100`	`3.3110`	`1.0300`	`3.215`	`19746.52860217`	`19746.52860217`
`popdynm200`	`4.4270`	`3.2290`	`1.371`	`19746.52964660`	`19746.52964660`
`popdynm25`	`1.1360`	`0.1750`	`6.491`	`19752.21541511`	`19752.21541511`
`popdynm50`	`0.8220`	`0.3440`	`2.390`	`19746.54515628`	`19746.54515628`
`robot100`	`0.2140`	`0.5140`	`0.416`	`9.14268538`	`9.14268538`
`robot200`	`0.8580`	`1.7730`	`0.484`	`9.14139550`	`9.14139550`
`robot400`	`1.7430`	`7.1280`	`0.245`	`9.14102603`	`9.14102603`
`robot50`	`0.1010`	`0.1930`	`0.523`	`9.14687850`	`9.14687850`
`rocket100`	`0.6340`	`1.2360`	---	`mstat( 6) sstat(4)`	`-1.01283199`
`rocket200`	`1.0570`	`1.9560`	---	`mstat( 6) sstat(4)`	`-1.01283556`
`rocket400`	`7.3270`	`4.7130`	`1.555`	`-1.01283660`	`-1.01283632`
`torsion100`	`2.8130`	`100.5560`	`0.028`	`-0.41823921`	`-0.41823921`
`torsion25`	`0.5190`	`1.6000`	`0.324`	`-0.41751073`	`-0.41751073`
`torsion50`	`1.1460`	`12.4720`	`0.092`	`-0.41808763`	`-0.41808763`
`torsion75`	`2.1170`	`42.8410`	`0.049`	`-0.41819940`	`-0.41819940`